The Greenhouse Gas Balance of Italy

doi:10.1007/978-3-642-32424-6

Environmental Science and Engineering

2015

DOI: 10.1007/978-3-642-32424-6

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The Greenhouse Gas Balance of Italy

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Cited by 8 publications

References 138 publications

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Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data

et al. 2016

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Several studies have demonstrated that Monteith's approach can efficiently predict forest gross primary production (GPP), while the modeling of net ecosystem production (NEP) is more critical, requiring the additional simulation of forest respirations. The NEP of different forest ecosystems in Italy was currently simulated by the use of a remote sensing driven parametric model (modified C-Fix) and a biogeochemical model (BIOME-BGC). The outputs of the two models, which simulate forests in quasi-equilibrium conditions, are combined to estimate the carbon fluxes of actual conditions using information regarding the existing woody biomass. The estimates derived from the methodology have been tested against daily reference GPP and NEP data collected through the eddy correlation technique at five study sites in Italy. The first test concerned the theoretical validity of the simulation approach at both annual and daily time scales and was performed using optimal model drivers (i.e., collected or calibrated over the site measurements). Next, the test was repeated to assess the operational applicability of the methodology, which was driven by spatially extended data sets (i.e., data derived from existing wall-to-wall digital maps). A good estimation accuracy was generally obtained for GPP and NEP when using optimal model drivers. The use of spatially extended data sets worsens the accuracy to a varying degree, which is properly characterized. The model drivers with the most influence on the flux modeling strategy are, in increasing order of importance, forest type, soil features, meteorology, and forest woody biomass (growing stock volume).

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Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data

et al. 2016

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The potential impact of biogenic volatile organic compounds (BVOCs) from terrestrial vegetation on a Mediterranean area using two different emission models

Ciccioli¹,

Silibello²,

Finardi³

et al. 2023

Agricultural and Forest Meteorology

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Plant profit maximization improves predictions of European forest responses to drought

et al. 2020

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Knowledge of how water stress impacts the carbon and water cycles is a key uncertainty in terrestrial biosphere models.We tested a new profit maximization model, where photosynthetic uptake of CO 2 is optimally traded against plant hydraulic function, as an alternative to the empirical functions commonly used in models to regulate gas exchange during periods of water stress. We conducted a multi-site evaluation of this model at the ecosystem scale, before and during major droughts in Europe. Additionally, we asked whether the maximum hydraulic conductance in the soilplant continuum k max (a key model parameter which is not commonly measured) could be predicted from long-term site climate.Compared with a control model with an empirical soil moisture function, the profit maximization model improved the simulation of evapotranspiration during the growing season, reducing the normalized mean square error by c. 63%, across mesic and xeric sites. We also showed that k max could be estimated from long-term climate, with improvements in the simulation of evapotranspiration at eight out of the 10 forest sites during drought.Although the generalization of this approach is contingent upon determining k max , it presents a mechanistic trait-based alternative to regulate canopy gas exchange in global models.

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The Greenhouse Gas Balance of Italy

Abstract: More information about this series at

Cited by 8 publications

References 138 publications

Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data

Estimating daily forest carbon fluxes using a combination of ground and remotely sensed data

The potential impact of biogenic volatile organic compounds (BVOCs) from terrestrial vegetation on a Mediterranean area using two different emission models

Plant profit maximization improves predictions of European forest responses to drought

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